如何載入 JSON
JSON (JavaScript Object Notation) 是一種開放標準檔案格式和資料交換格式,使用人類可讀的文本來儲存和傳輸由屬性值對和陣列(或其他可序列化值)組成的資料物件。
JSON Lines 是一種檔案格式,其中每一行都是有效的 JSON 值。
LangChain 實作了 JSONLoader,以將 JSON 和 JSONL 資料轉換為 LangChain Document 物件。它使用指定的 jq schema 來解析 JSON 檔案,從而允許將特定欄位提取到 LangChain Document 的內容和元數據中。
它使用 jq
python 套件。請查看此手冊以獲取 jq
語法的詳細文件。
在這裡,我們將示範
- 如何將 JSON 和 JSONL 資料載入到 LangChain
Document
的內容中; - 如何將 JSON 和 JSONL 資料載入到與
Document
相關聯的元數據中。
#!pip install jq
from langchain_community.document_loaders import JSONLoader
import json
from pathlib import Path
from pprint import pprint
file_path='./example_data/facebook_chat.json'
data = json.loads(Path(file_path).read_text())
pprint(data)
{'image': {'creation_timestamp': 1675549016, 'uri': 'image_of_the_chat.jpg'},
'is_still_participant': True,
'joinable_mode': {'link': '', 'mode': 1},
'magic_words': [],
'messages': [{'content': 'Bye!',
'sender_name': 'User 2',
'timestamp_ms': 1675597571851},
{'content': 'Oh no worries! Bye',
'sender_name': 'User 1',
'timestamp_ms': 1675597435669},
{'content': 'No Im sorry it was my mistake, the blue one is not '
'for sale',
'sender_name': 'User 2',
'timestamp_ms': 1675596277579},
{'content': 'I thought you were selling the blue one!',
'sender_name': 'User 1',
'timestamp_ms': 1675595140251},
{'content': 'Im not interested in this bag. Im interested in the '
'blue one!',
'sender_name': 'User 1',
'timestamp_ms': 1675595109305},
{'content': 'Here is $129',
'sender_name': 'User 2',
'timestamp_ms': 1675595068468},
{'photos': [{'creation_timestamp': 1675595059,
'uri': 'url_of_some_picture.jpg'}],
'sender_name': 'User 2',
'timestamp_ms': 1675595060730},
{'content': 'Online is at least $100',
'sender_name': 'User 2',
'timestamp_ms': 1675595045152},
{'content': 'How much do you want?',
'sender_name': 'User 1',
'timestamp_ms': 1675594799696},
{'content': 'Goodmorning! $50 is too low.',
'sender_name': 'User 2',
'timestamp_ms': 1675577876645},
{'content': 'Hi! Im interested in your bag. Im offering $50. Let '
'me know if you are interested. Thanks!',
'sender_name': 'User 1',
'timestamp_ms': 1675549022673}],
'participants': [{'name': 'User 1'}, {'name': 'User 2'}],
'thread_path': 'inbox/User 1 and User 2 chat',
'title': 'User 1 and User 2 chat'}
使用 JSONLoader
假設我們有興趣提取 JSON 資料的 messages
鍵中 content
欄位下的值。這可以透過 JSONLoader
輕鬆完成,如下所示。
JSON 檔案
loader = JSONLoader(
file_path='./example_data/facebook_chat.json',
jq_schema='.messages[].content',
text_content=False)
data = loader.load()
pprint(data)
[Document(page_content='Bye!', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 1}),
Document(page_content='Oh no worries! Bye', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 2}),
Document(page_content='No Im sorry it was my mistake, the blue one is not for sale', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 3}),
Document(page_content='I thought you were selling the blue one!', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 4}),
Document(page_content='Im not interested in this bag. Im interested in the blue one!', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 5}),
Document(page_content='Here is $129', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 6}),
Document(page_content='', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 7}),
Document(page_content='Online is at least $100', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 8}),
Document(page_content='How much do you want?', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 9}),
Document(page_content='Goodmorning! $50 is too low.', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 10}),
Document(page_content='Hi! Im interested in your bag. Im offering $50. Let me know if you are interested. Thanks!', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 11})]
JSON Lines 檔案
如果您想從 JSON Lines 檔案載入文件,請傳遞 json_lines=True
並指定 jq_schema
以從單個 JSON 物件中提取 page_content
。
file_path = './example_data/facebook_chat_messages.jsonl'
pprint(Path(file_path).read_text())
('{"sender_name": "User 2", "timestamp_ms": 1675597571851, "content": "Bye!"}\n'
'{"sender_name": "User 1", "timestamp_ms": 1675597435669, "content": "Oh no '
'worries! Bye"}\n'
'{"sender_name": "User 2", "timestamp_ms": 1675596277579, "content": "No Im '
'sorry it was my mistake, the blue one is not for sale"}\n')
loader = JSONLoader(
file_path='./example_data/facebook_chat_messages.jsonl',
jq_schema='.content',
text_content=False,
json_lines=True)
data = loader.load()
pprint(data)
[Document(page_content='Bye!', metadata={'source': 'langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat_messages.jsonl', 'seq_num': 1}),
Document(page_content='Oh no worries! Bye', metadata={'source': 'langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat_messages.jsonl', 'seq_num': 2}),
Document(page_content='No Im sorry it was my mistake, the blue one is not for sale', metadata={'source': 'langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat_messages.jsonl', 'seq_num': 3})]
另一個選項是設定 jq_schema='.'
並提供 content_key
loader = JSONLoader(
file_path='./example_data/facebook_chat_messages.jsonl',
jq_schema='.',
content_key='sender_name',
json_lines=True)
data = loader.load()
pprint(data)
[Document(page_content='User 2', metadata={'source': 'langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat_messages.jsonl', 'seq_num': 1}),
Document(page_content='User 1', metadata={'source': 'langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat_messages.jsonl', 'seq_num': 2}),
Document(page_content='User 2', metadata={'source': 'langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat_messages.jsonl', 'seq_num': 3})]
具有 jq schema content_key
的 JSON 檔案
若要使用 jq schema 中的 content_key 從 JSON 檔案載入文件,請設定 is_content_key_jq_parsable=True。確保 content_key 相容且可以使用 jq schema 進行解析。
file_path = './sample.json'
pprint(Path(file_path).read_text())
{"data": [
{"attributes": {
"message": "message1",
"tags": [
"tag1"]},
"id": "1"},
{"attributes": {
"message": "message2",
"tags": [
"tag2"]},
"id": "2"}]}
loader = JSONLoader(
file_path=file_path,
jq_schema=".data[]",
content_key=".attributes.message",
is_content_key_jq_parsable=True,
)
data = loader.load()
pprint(data)
[Document(page_content='message1', metadata={'source': '/path/to/sample.json', 'seq_num': 1}),
Document(page_content='message2', metadata={'source': '/path/to/sample.json', 'seq_num': 2})]
提取元數據
通常,我們希望將 JSON 檔案中可用的元數據包含到我們從內容建立的文件中。
以下示範如何使用 JSONLoader
提取元數據。
有一些關鍵的變更需要注意。在先前的範例中,我們沒有收集元數據,我們設法直接在 schema 中指定可以從哪裡提取 page_content
的值。
.messages[].content
在目前的範例中,我們必須告訴載入器迭代 messages
欄位中的記錄。然後 jq_schema 必須是
.messages[]
這允許我們將記錄 (dict) 傳遞到必須實作的 metadata_func
中。metadata_func
負責識別記錄中的哪些資訊應包含在最終 Document
物件中儲存的元數據中。
此外,我們現在必須在載入器中透過 content_key
參數明確指定要從記錄中提取 page_content
值的鍵。
# Define the metadata extraction function.
def metadata_func(record: dict, metadata: dict) -> dict:
metadata["sender_name"] = record.get("sender_name")
metadata["timestamp_ms"] = record.get("timestamp_ms")
return metadata
loader = JSONLoader(
file_path='./example_data/facebook_chat.json',
jq_schema='.messages[]',
content_key="content",
metadata_func=metadata_func
)
data = loader.load()
pprint(data)
[Document(page_content='Bye!', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 1, 'sender_name': 'User 2', 'timestamp_ms': 1675597571851}),
Document(page_content='Oh no worries! Bye', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 2, 'sender_name': 'User 1', 'timestamp_ms': 1675597435669}),
Document(page_content='No Im sorry it was my mistake, the blue one is not for sale', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 3, 'sender_name': 'User 2', 'timestamp_ms': 1675596277579}),
Document(page_content='I thought you were selling the blue one!', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 4, 'sender_name': 'User 1', 'timestamp_ms': 1675595140251}),
Document(page_content='Im not interested in this bag. Im interested in the blue one!', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 5, 'sender_name': 'User 1', 'timestamp_ms': 1675595109305}),
Document(page_content='Here is $129', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 6, 'sender_name': 'User 2', 'timestamp_ms': 1675595068468}),
Document(page_content='', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 7, 'sender_name': 'User 2', 'timestamp_ms': 1675595060730}),
Document(page_content='Online is at least $100', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 8, 'sender_name': 'User 2', 'timestamp_ms': 1675595045152}),
Document(page_content='How much do you want?', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 9, 'sender_name': 'User 1', 'timestamp_ms': 1675594799696}),
Document(page_content='Goodmorning! $50 is too low.', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 10, 'sender_name': 'User 2', 'timestamp_ms': 1675577876645}),
Document(page_content='Hi! Im interested in your bag. Im offering $50. Let me know if you are interested. Thanks!', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 11, 'sender_name': 'User 1', 'timestamp_ms': 1675549022673})]
現在,您將看到文件包含與我們提取的內容相關聯的元數據。
metadata_func
如上所示,metadata_func
接受由 JSONLoader
產生的預設元數據。這允許使用者完全控制元數據的格式。
例如,預設元數據包含 source
和 seq_num
鍵。但是,JSON 資料也可能包含這些鍵。然後,使用者可以利用 metadata_func
來重新命名預設鍵,並使用 JSON 資料中的鍵。
下面的範例示範了我們如何修改 source
以僅包含相對於 langchain
目錄的檔案來源資訊。
# Define the metadata extraction function.
def metadata_func(record: dict, metadata: dict) -> dict:
metadata["sender_name"] = record.get("sender_name")
metadata["timestamp_ms"] = record.get("timestamp_ms")
if "source" in metadata:
source = metadata["source"].split("/")
source = source[source.index("langchain"):]
metadata["source"] = "/".join(source)
return metadata
loader = JSONLoader(
file_path='./example_data/facebook_chat.json',
jq_schema='.messages[]',
content_key="content",
metadata_func=metadata_func
)
data = loader.load()
pprint(data)
[Document(page_content='Bye!', metadata={'source': 'langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 1, 'sender_name': 'User 2', 'timestamp_ms': 1675597571851}),
Document(page_content='Oh no worries! Bye', metadata={'source': 'langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 2, 'sender_name': 'User 1', 'timestamp_ms': 1675597435669}),
Document(page_content='No Im sorry it was my mistake, the blue one is not for sale', metadata={'source': 'langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 3, 'sender_name': 'User 2', 'timestamp_ms': 1675596277579}),
Document(page_content='I thought you were selling the blue one!', metadata={'source': 'langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 4, 'sender_name': 'User 1', 'timestamp_ms': 1675595140251}),
Document(page_content='Im not interested in this bag. Im interested in the blue one!', metadata={'source': 'langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 5, 'sender_name': 'User 1', 'timestamp_ms': 1675595109305}),
Document(page_content='Here is $129', metadata={'source': 'langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 6, 'sender_name': 'User 2', 'timestamp_ms': 1675595068468}),
Document(page_content='', metadata={'source': 'langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 7, 'sender_name': 'User 2', 'timestamp_ms': 1675595060730}),
Document(page_content='Online is at least $100', metadata={'source': 'langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 8, 'sender_name': 'User 2', 'timestamp_ms': 1675595045152}),
Document(page_content='How much do you want?', metadata={'source': 'langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 9, 'sender_name': 'User 1', 'timestamp_ms': 1675594799696}),
Document(page_content='Goodmorning! $50 is too low.', metadata={'source': 'langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 10, 'sender_name': 'User 2', 'timestamp_ms': 1675577876645}),
Document(page_content='Hi! Im interested in your bag. Im offering $50. Let me know if you are interested. Thanks!', metadata={'source': 'langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 11, 'sender_name': 'User 1', 'timestamp_ms': 1675549022673})]
具有 jq schema 的常見 JSON 結構
下面的列表提供了使用者可以使用的可能 jq_schema
的參考,以根據結構從 JSON 資料中提取內容。
JSON -> [{"text": ...}, {"text": ...}, {"text": ...}]
jq_schema -> ".[].text"
JSON -> {"key": [{"text": ...}, {"text": ...}, {"text": ...}]}
jq_schema -> ".key[].text"
JSON -> ["...", "...", "..."]
jq_schema -> ".[]"